Presentation 1999/7/16
Novel System and Algorithm for Image Sensing and Feature Extraction
Shigeru ANDO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes novel systems and algorithms for image sensing and feature extraction. We describe three topics: 1) the consistent gradient operators in which the contradiction between x- and y-differentials are minimized by optimizing the inherent smoothing filter, 2) image categorization and feature extraction, operators based on "uni-axial variation" hypothesis of image features, and 3) the correlation image sensor which outputs the sum of products between photo currents and a reference signa, and can mimic the involuntary eye movements to extract the fundamental image features.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) feature extraction / image sensor / gradient / correlation / intelligent sensor / edge / corner
Paper # MI99-19
Date of Issue

Conference Information
Committee MI
Conference Date 1999/7/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Novel System and Algorithm for Image Sensing and Feature Extraction
Sub Title (in English)
Keyword(1) feature extraction
Keyword(2) image sensor
Keyword(3) gradient
Keyword(4) correlation
Keyword(5) intelligent sensor
Keyword(6) edge
Keyword(7) corner
1st Author's Name Shigeru ANDO
1st Author's Affiliation Department of Mathematical Engineering and Information Physics Graduate School of Engineering, The University of Tokyo()
Date 1999/7/16
Paper # MI99-19
Volume (vol) vol.99
Number (no) 191
Page pp.pp.-
#Pages 7
Date of Issue